Table 1 Analysis of existing intuitionistic fuzzy similarity measures.
Ref | Method | Drawbacks | Application |
---|---|---|---|
Hong and Kim27 | Based on Chen’s28 similarity measure for Vague sets | Counter-intuitive outcomes | - |
Dengfeng and Chuntian29 | Modification in Hong and Kim’s similarity measure | Counter-intuitive outcomes and violation of similarity axioms | Pattern recognition |
Mitchell30 | Updated version of Dengfeng and Chuntian similarity | Counter-intuitive outcomes | Provided axiomatic definition for IFSM |
Hung and Yang31 | Similarity measures based on \(L_P\) metric space | Counter-intuitive outcomes | Pattern recognition |
Wang and Xin32 | Complement of the distance measure defined by taking a linear combination of distance measures of Atanassov33 and Grzegorzewski34 | Counter-intuitive outcomes | Pattern recognition |
Hung and Yang35 | Extended fuzzy sets similarity measures of Pappis and Karacapilidis36 to IFSs | Counter-intuitive and unreasonable outcomes | Evaluation of answerscripts of the students |
Vlachos and Sergiadis37 | Similarity measure using Cross entropy based discrimination measure | Counter-intuitive outcomes, violation of similarity axioms and zero denominator | Pattern recognition and image segmentation |
Yang and Chiclana38 | Spherical distance based similarity measure | Counter-intuitive and unreasonable outcomes | Decision making of mechanical design schemes |
Ye39 | Cosine Similarity measure | Counter-intuitive outcomes, violation of similarity axioms and zero denominator | Pattern recognition |
Boran and Akay40 | Triangular fuzzy number based similarity | Counter-intuitive and unreasonable outcomes | Pattern recognition |
Ye41 | Cosine similarity measures and weighted cosine similarity measures | Counter-intuitive and unreasonable outcomes | Pattern recognition |
Xiao42 | Probabilistic divergence based similarity measure | Counter-intuitive outcomes, violation of similarity axioms and zero denominator | Pattern recognition |
Mahanta and Panda43 | Canberra distance based IFSM for highly hesitant IFS | Counter-intuitive outcomes, violation of similarity axioms and zero denominator | Selection of face mask in COVID-19 and pattern recognition |
Patel et al.44 | K-L divergence based distance and similarity measures | Counter-intuitive outcomes | Pattern recognition and medical diagnosis problem |
Gohain et al.45 | Cross evaluation factor based distance and similarity measures | Counter-intuitive outcomes | Pattern recognition and clustering problems |
Zeng et al.46 | Similarity by taking into account the differences in membership & nonmembership, and exponential distance | Counter-intuitive outcomes | Pattern recognition |
Patel et al.6 | Csiszar-f-divergence based distance and similarity | Counter-intuitive outcomes, violation of similarity axioms | Medical waste management treatment technique selection |
Jiang et al.3 | Triangular fuzzy number based similarity measure | Counter-intuitive and unreasonable outcomes | Multimodal medical image fusion method |
Dutta et al.47 | Benchmark line and cross- evaluation factor based similarity measure | Counter-intuitive or unreasonable outcomes | Pattern recognition problem |